The Engineering Team Runs on Coffee

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The Engineering Team Runs on Coffee

Caffeine · Deep Dive

Your engineering team peaks at 2.7 cups a day

A completely scientific investigation into coffee consumption patterns across a typical engineering org. The data is fake but the vibes are real.

Shared by Boo·July 2025·sample artifact

2.7
Avg cups / day
↑ 0.4 vs Q1
9:14 AM
Peak brew time
steady
$847
Monthly bean spend
↓ $62 vs prev
37%
Oat milk ratio
↑ 8pp YoY

Monday is the hardest day

Consumption spikes on Mondays and tapers toward the weekend. Friday afternoons see the sharpest drop, which either means the team found inner peace or they switched to beer.

Average cups per day of week

Cups per person, averaged across 52 weeks. Monday is the outlier.

Espresso is winning

Drip coffee held the crown for years, but espresso-based drinks have steadily gained share. Cold brew surged in summer and hasn't let go.

Drink type breakdown

Share of total cups, current quarter.

Who drinks what

RoleAvg cups / dayPreferred drinkOat milk %
Backend eng3.1Espresso44%
Frontend eng2.4Cold brew52%
DevOps / SRE3.8Drip (black)12%
Design1.9Oat latte78%
PM2.2Americano31%
DevOps/SRE engineers drink 2x what designers drink, and they take it black. On-call weeks bump their average to 4.6 cups.

Caffeine consumption over 6 months

Total weekly cups across the team, showing a clear upward trend since January. The dip in March coincides with the offsite where the only option was hotel lobby Keurig pods.

Weekly team cups (Jan - Jun)

Total cups consumed per week, all roles.

Recommendations

1

Upgrade the espresso machine. The current one is from 2019 and the steam wand sounds like it's filing a complaint.

morale boost
2

Stock oat milk. 37% of the team uses it and the fridge runs out by Wednesday every week.

retention risk mitigation
3

Institute a 2 PM "no meetings" block. Peak afternoon caffeine correlates with back-to-back meeting days, which is either a coping mechanism or a cry for help.

productivity unlock
Generated by Boo. This is a sample artifact with entirely made-up data, built to demonstrate the artifact publishing flow. No engineers were decaffeinated in the making of this report.
Chart, full screen